CN112484255B - Energy-saving heating ventilation air conditioning system and building automatic control method - Google Patents
Energy-saving heating ventilation air conditioning system and building automatic control method Download PDFInfo
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- CN112484255B CN112484255B CN202011371207.1A CN202011371207A CN112484255B CN 112484255 B CN112484255 B CN 112484255B CN 202011371207 A CN202011371207 A CN 202011371207A CN 112484255 B CN112484255 B CN 112484255B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
Abstract
The invention discloses an energy-saving heating ventilation air-conditioning system which comprises a central air-conditioning terminal and a monitoring unit which are arranged in each room of a building, and an intelligent control center for comprehensively and integrally planning the central air-conditioning terminal and the monitoring unit, wherein the central air-conditioning terminal is used for carrying out environment regulation on each room of the building so as to create a temperature control environment which is most suitable for the life of people, and the monitoring unit is used for carrying out real-time monitoring on the temperature control environment in each room of the building and synchronously feeding back monitoring data to the intelligent control center. The intelligent control system avoids real-time monitoring of the temperature control environment by the monitoring unit and real-time study and judgment of the environment temperature signal by the intelligent control center to realize calculation, saving of power resources and improvement of environment regulation efficiency, automatically controls the central air conditioner in each room of the building, meets the use requirements of users, avoids power loss caused by bad habits of the users, and achieves the optimal energy-saving state.
Description
Technical Field
The invention relates to the technical field of building energy conservation, in particular to an energy-saving heating ventilation air-conditioning system and a building automatic control method.
Background
Central air conditioning systems are increasingly used in large buildings or groups of buildings. The central air conditioning system is composed of one or more cold and heat source systems and a plurality of air conditioning systems, and the system is different from the traditional refrigerant type air conditioner, and the air is intensively treated (such as a single machine, VRV) to achieve the comfort requirement. The principle of liquid gasification refrigeration is adopted to provide the required cold energy for the air conditioning system so as to offset the heat load of the indoor environment; the heating system provides the air conditioning system with the required heat to offset the indoor environment cooling and heating load.
At present, in order to meet individual office and work requirements in high-rise buildings, heating, ventilation and air conditioning systems are widely applied, management of the heating, ventilation and air conditioning systems generally comprises two management modes of decentralized management and centralized management, decentralized management is adopted, local monitoring and operation occupy a large amount of human resources, the centralized management mode is adopted, and the modern computer technology and network system are utilized to realize centralized management and automatic monitoring of all electromechanical equipment, so that safe operation of all electromechanical equipment in a station can be ensured, and the patent CN109140723A discloses a distributed building heating, ventilation and air conditioning monitoring system and method, which are used for monitoring in real time to obtain relevant parameters during operation of the heating, ventilation and air conditioning inside the building and carrying out scientific regulation and management; the practical load condition and the power parameter of the heating ventilation air conditioner are planned in combination with the non-use of high-rise buildings, so that the practical value of the heating ventilation air conditioner is highlighted, and the requirements for energy conservation and consumption reduction are met.
Although CN109140723A can guarantee the safe operation of the hvac system and reduce the energy consumption under scientific regulation and management, the reduction of the energy consumption still needs to be established on the basis of real-time monitoring, consume a large amount of monitoring and computing resources, cause a great computing burden for the control center, easily cause the instability of the whole system, reduce the regulation and control capability of the ambient temperature, reduce the regulation precision, simultaneously follow the personal habits of users to schedule the power distribution of the hvac, still need the users to control the hvac terminals by themselves, be difficult to achieve full automatic control, also be difficult to avoid the power loss caused by the bad habits of the users, and be unable to achieve the optimal energy saving state.
Disclosure of Invention
The invention aims to provide an energy-saving heating ventilation air-conditioning system, which solves the technical problems that in the prior art, energy consumption reduction still needs to be established on the basis of real-time monitoring, a large amount of monitoring and computing resources are consumed, great computing burden is caused for a control center, a user still needs to control a heating ventilation air-conditioning terminal automatically, full-automatic control is difficult to achieve, power loss caused by poor habits of the user is difficult to avoid, and the optimal energy-saving state cannot be achieved.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
the utility model provides an energy-saving heating ventilation air conditioning system, is including setting up at every indoor central air conditioning terminal and the monitoring unit of building to and the wisdom control center who synthesizes overall planning central air conditioning terminal and monitoring unit, central air conditioning terminal is used for carrying out the temperature control environment of environmental conditioning in order to build optimum personnel's life to every indoor building, monitoring unit is used for every indoor temperature control environment of building carries out real-time supervision and feeds back the wisdom control center with monitoring data synchronization, wisdom control center utilizes monitoring data to found the optimum building automatic control model and right according to the optimum building automatic control model energy-saving automatic control is implemented to every indoor of building.
As a preferred scheme of the present invention, the monitoring unit includes a personnel monitoring unit disposed at the air outlet of the central air conditioning terminal for identifying the existence of personnel, an environment monitoring unit randomly distributed at each indoor position of the building for collecting an ambient temperature signal in real time, and a data processing module for generating signals by the personnel monitoring unit and the environment monitoring unit.
As a preferred scheme of the present invention, the personnel monitoring unit includes a voice recognition module and an infrared detection module, the voice recognition module receives all indoor voice signals of the building in real time and synchronously identifies human voice signals in the voice signals, the infrared detection module detects all indoor infrared signals of the building in real time and synchronously identifies human infrared signals in the infrared signals, the data processing module combines the human voice signals and the human infrared signals in a time sequence one-to-one correspondence to generate personnel presence signals representing the presence of personnel, and the specific manner of the personnel presence signals generation is as follows:
the method comprises the following steps: the voice recognition module generates human voice signals in real time and synchronously transmits the human voice signals to the data processing module, and the infrared detection module generates human infrared signals in real time and synchronously transmits the human infrared signals to the data processing module;
step two: the data processing module is used for carrying out intersection operation on the synchronous receiving human voice signals and the human infrared signals to generate personnel existing signals, and the method specifically comprises the following steps:
and marking the human voice signal at the time T as D and the human infrared signal as G, wherein the human existence signal at the time T is A ═ DUG, wherein the values of A, D and G are both 0 or 1,0 represents no existence, and 1 represents existence.
As a preferable scheme of the present invention, the environment monitoring unit includes a plurality of temperature sensors for acquiring temperature data at each indoor location of the building, the data processing module analyzes the plurality of temperature data to generate the environment temperature signal, and the specific manner of the environment temperature signal is as follows:
the method comprises the following steps: the plurality of temperature sensors detect the environmental temperature data of each indoor position of the building in real time and synchronously transmit the environmental temperature data to the data processing module;
step two: the data processing module synchronously carries out averaging processing on a plurality of environment temperature data to generate an environment temperature signal, and the method specifically comprises the following steps:
multiple houses of T timeThe environmental temperature marks are { B1, B2, B3, …, Bn }, and the environmental temperature signal at the time T is
Wherein, i is (1, n) and n is the total number of the temperature sensors.
As a preferred scheme of the present invention, the present invention provides a building automatic control method for the energy-saving heating, ventilating and air conditioning system, which comprises the following steps:
s1, monitoring the existence signal and the environment temperature signal of each indoor generated person of the building by a monitoring unit in real time, and synchronously uploading the signals to an intelligent control center;
s2, the intelligent control center synchronously analyzes the personnel existence signal and the environment temperature signal, synchronously issues a control instruction to a central air-conditioning terminal in each room of the building, and simultaneously records the control instruction and the time for executing the control instruction to generate an execution log in each room of the building;
step S3, the central air-conditioning terminal executes the adjusting operation of constructing the temperature control environment most suitable for the life of people for each room of the building according to the control instruction;
s4, the intelligent control center extracts an execution log in each room of the building, and an optimal building automatic control model is established by taking the execution log in each room of the building as a sample data set;
and step S5, the intelligent control center issues an optimal control instruction to each indoor central air-conditioning terminal of the building according to the optimal building automatic control model, so that real-time monitoring of the temperature control environment by the monitoring unit is omitted, and the intelligent control center studies and judges the environment temperature signal in real time to realize operation, save electric power resources and improve the environment regulation efficiency.
As a preferred embodiment of the present invention, in step S2, the intelligent control center issues a control command to the central air conditioning terminal in each room of the building in a specific manner:
if the value of the personnel existence signal A in each room of the building is 0, the intelligent control center issues a control instruction of not starting to a central air-conditioning terminal in each room of the building;
if the value of the personnel existence signal A in each room of the building is 1, comparing the environmental temperature signal with the temperature standard of the temperature control environment most suitable for the life of the personnel:
under the condition that the ambient temperature signal is lower than the temperature standard of the temperature control environment most suitable for people to live, the intelligent control center issues a control instruction for starting temperature rise to a central air-conditioning terminal corresponding to each indoor part of the building;
and under the condition that the ambient temperature signal is higher than the temperature standard of the temperature control environment most suitable for people to live, the intelligent control center issues a control instruction which is not started to the central air-conditioning terminal in each room of the corresponding building.
In a preferred embodiment of the present invention, in step S3, each room of the building is marked as R1, R2, …, Rm, where m is a total number of rooms included in the building, and the execution log in each room of the building is marked as { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] }, where Ts1, Ts2, …, Tsm are sets of times for executing control instructions in each room of the building, and X1, X2, …, Xm are sets of control instructions in each room of the building, respectively.
As a preferred embodiment of the present invention, in step S4, the intelligent control center establishes the building automatic control model in a specific manner:
step S401, sample data preprocessing: performing data cleaning and normalization processing on an execution log { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] } in each room of the building, and sorting the execution log into a standard sample data set feature { R1: [ Ts1], R2: [ Ts2], …, Rm: [ Tsm ] }, label { R1: [ X1], R2: [ X2], … and Rm: [ Xm ] }, wherein the feature is sample characteristics serving as model input, and the label is sample label serving as model output;
step S402, sample data set segmentation: randomly dividing a sample data set feature { R1: [ Ts1], R2: [ Ts2], …, Rm: [ Tsm ] }, label { R1: [ X1], R2: [ X2], … and Rm: [ Xm ] } into three parts of 60%, 15% and 15% one by one, and respectively taking the three parts as a training set of a training model, a verification set of a tuning model and a test set of an evaluation model;
step S403, establishing an optimal building automatic control model: respectively applying a classification model algorithm to training sets of R1, R2, … and Rm in each room of the building to generate an initial building automatic control model for controlling each indoor regulation rule R1, R2, … and Rm of the building, and applying a verification set and a test set to the initial building automatic control model to perform performance evaluation and parameter optimization to obtain optimal building automatic control models marked as M1, M2, M3, … and Mm;
step S404, updating the optimal building automatic control model: and updating the execution log of each indoor of the building periodically, and repeating the steps S401 to S403 to update the optimal building automatic control model periodically.
As a preferred embodiment of the present invention, in step S5, the specific manner for the intelligent control center to issue the control command to the central air-conditioning terminal according to the optimal building automatic control model is as follows:
step S501, the intelligent control center closes each indoor R1, R2, … and Rm of the building, the monitoring units in the Rm directly input the optimal building automatic control models M1, M2, M3 and … at the current time point, and Mm outputs initial control commands X1, X2, … and Xm for the central air-conditioning terminals of each indoor R1, R2, … and Rm of the building;
step S502, the intelligent control center restarts the personnel monitoring units of the monitoring units in each room R1, R2, … and Rm of the building to receive personnel existence signals A1, A2, … and Am, and corresponding items of control commands X1, X2, … and Xm and personnel existence signals A1, A2, … and Am are analyzed to generate an optimal control command;
and step S503, issuing the optimal control command to the central air-conditioning terminal.
As a preferred embodiment of the present invention, in step S502, the optimal control command specifically includes:
if the personnel existence signals A1, A2, … and Am in each room of the building take the values of 0, the optimal control command is not started;
if the personnel existence signals A1, A2, … and Am in each room of the building take the value of 1, the optimal control command is X1, X2, … and Xm.
Compared with the prior art, the invention has the following beneficial effects:
the building automatic control model is established for each indoor of the building, the building automatic control model masters the use habit of each indoor user of the building through the execution log training of the central air-conditioning terminal of each indoor user of the building, the control instruction which is used for inputting and outputting the control instruction for constructing the environment in each indoor of the building into the temperature control environment which is most suitable for the life of people and is applied to the central air-conditioning terminal is obtained by using time as input, the real-time monitoring of the temperature control environment by a monitoring unit and the real-time study and judgment of the environment temperature signal by an intelligent control center are avoided, the operation, the saving of electric power resources and the improvement of the environment adjusting efficiency are realized, the central air-conditioning in each indoor of the building is automatically controlled, the use requirements of the users are met, the electric power loss caused by the bad habits of the users is avoided, and the optimal energy-saving state is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a block diagram of an energy-saving heating, ventilating and air conditioning system according to an embodiment of the present invention;
fig. 2 is a flowchart of a building automatic control method according to an embodiment of the present invention.
The reference numerals in the drawings denote the following, respectively:
1-a central air-conditioning terminal; 2-a monitoring unit; 3-an intelligent control center;
201-personnel monitoring unit; 202-an environment monitoring unit; 203-a data processing module;
2011-speech recognition module; 2012-infrared detection module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the invention provides an energy-saving heating ventilation air conditioning system, which comprises a central air conditioning terminal 1 and a monitoring unit 2 arranged in each room of a building, and an intelligent control center 3 for comprehensively and comprehensively planning the central air conditioning terminal 1 and the monitoring unit 2, wherein the central air conditioning terminal 1 is used for carrying out environment regulation on each room of the building so as to create a temperature control environment most suitable for life of people, the monitoring unit 2 is used for carrying out real-time monitoring on the temperature control environment in each room of the building and synchronously feeding back monitoring data to the intelligent control center 3, and the intelligent control center 3 utilizes the monitoring data to construct an optimal building automatic control model and implements energy-saving automatic control on each room of the building according to the optimal building automatic control model.
Set up central air conditioning terminal 1 in every indoor diapire of building in-service use, central air conditioning terminal 1's air outlet delays warm air to distribute and gathers the heat and reach every indoor heat preservation effect of building towards every indoor roof of building in order to utilize warm air come-up cold air to sink the principle, prolongs indoor heat preservation effect and can reduce central air conditioning terminal 1 to a certain extent and start the number of times that heaies up to play energy-conserving effect.
The method has the advantages that the existence condition of each indoor person of the building is judged by combining the voice signal and the infrared signal, the accuracy of double-aspect confirmation is higher, and the condition that the subsequent automatic control model establishment is influenced by misjudgment caused by unilateral confirmation is avoided.
The monitoring unit 2 comprises a personnel monitoring unit 2012 arranged at the air outlet of the central air-conditioning terminal 1 and used for identifying the existence condition of personnel, an environment monitoring unit 2022 randomly distributed at each indoor position of the building and used for acquiring an environment temperature signal in real time, and a data processing module 203 used for generating signals by the personnel monitoring unit 2012 and the environment monitoring unit 2022.
the method comprises the following steps: the voice recognition module 2011 generates a human voice signal in real time and synchronously transmits the human voice signal to the data processing module 203, and the infrared detection module 2012 generates a human infrared signal in real time and synchronously transmits the human infrared signal to the data processing module 203;
step two: the data processing module 203 performs intersection operation on the synchronous receiving human voice signal and the human infrared signal to generate a person existing signal, which specifically comprises the following steps:
and marking the human voice signal at the time T as D and the human infrared signal as G, wherein the human existence signal at the time T is A ═ DUG, wherein the values of A, D and G are both 0 or 1,0 represents no existence, and 1 represents existence.
Calculating human body voice signals and human body infrared signals in each room of the building at the time T one by one to generate personnel existence signals in each room of the building: the marks in each room of the building are R1, R2, … and Rm, and the signal of the existence of the person in each room of the building at the time of T is T: { R1: [ A1], R2: [ A2], … and Rm: [ Am ] }.
The environment monitoring unit 2022 includes a plurality of temperature sensors for collecting temperature data at each indoor location of the building, the data processing module 203 analyzes the plurality of temperature data to generate the environment temperature signal, and the specific manner of the environment temperature signal is as follows:
the method comprises the following steps: the plurality of temperature sensors detect the environmental temperature data of each indoor position of the building in real time and synchronously transmit the environmental temperature data to the data processing module 203;
step two: the data processing module 203 synchronously performs averaging processing on the multiple environmental temperature data to generate an environmental temperature signal, which specifically includes:
a plurality of the environmental temperatures at the time T are marked as { B1, B2, B3, …, Bn }, and the environmental temperature signal at the time T is
Wherein, i is (1, n) and n is the total number of the temperature sensors.
Calculating the average value of a plurality of environment temperatures in each room of the building at the time T one by one: the marks of each indoor of the building are R1, R2, … and Rm, and the ambient temperature signal of each indoor of the building at the time T is T: { R1: [ B1], R2: [ B2], … and Rm: [ Bm ] }.
As shown in fig. 2, based on the structure of the energy-saving heating, ventilating and air conditioning system, the invention provides a building automatic control method, which comprises the following steps:
s1, monitoring the existence signal and the environment temperature signal of each indoor generated person of the building by a monitoring unit in real time, and synchronously uploading the signals to an intelligent control center;
wherein, the monitoring unit real-time supervision every indoor personnel that generate of building exist the signal and ambient temperature signal and do: { R1: [ A1], R2: [ A2], …, Rm: [ Am ] } and { R1: [ B1], R2: [ B2], …, Rm: [ Bm ] }.
S2, the intelligent control center synchronously analyzes the personnel existence signal and the environment temperature signal and synchronously issues a control instruction to each indoor central air-conditioning terminal of the building;
in step S2, the specific manner for the intelligent control center to issue the control command to the central air conditioning terminal in each room of the building is as follows:
if the value of the personnel existence signal A in each room of the building is 0, the intelligent control center issues a control instruction which is not started to the central air-conditioning terminal in each room of the building, and the method specifically comprises the following steps: and issuing a control instruction of not starting to the central air-conditioning terminals of A1, A2, … and corresponding R1, R2, … and Rm with the values of 0 in { R1: [ A1], R2: [ A2], … and Rm: [ Am ] }.
If the value of the personnel existence signal A in each room of the building is 1, comparing the environmental temperature signal with the temperature standard of the temperature control environment most suitable for the life of the personnel:
under the condition that the ambient temperature signal is lower than the temperature standard of the temperature control environment most suitable for people to live, the intelligent control center issues a control instruction for starting temperature rise to a central air-conditioning terminal corresponding to each indoor part of the building;
and under the condition that the ambient temperature signal is higher than the temperature standard of the temperature control environment most suitable for people to live, the intelligent control center issues a control instruction which is not started to the central air-conditioning terminal in each room of the corresponding building.
The central air-conditioning terminals of T: { R: [ A ], R: [ A ], [ Am ] } in which A, A and Am have values of 1, and T: { R: [ B ], R: [ B ], Rm: [ Bm ] } in which B, B and Bm are lower than those corresponding to the temperature standard of the temperature-controlled environment most suitable for human life are issued with a control instruction for starting temperature rise, the central air-conditioning terminals of T: { R: [ A ], R: [ A ], [ Rm ] in which A, A and Am have values of 1, and the central air-conditioning terminals of T: { R: [ B ], R: [ B ], [ Rm ] in which B, B and Bm are higher than those corresponding to the temperature standard of the temperature-controlled environment most suitable for human life are issued with control instructions for non-start.
Step S3, the central air-conditioning terminal executes the adjusting operation of constructing the temperature control environment most suitable for the life of people for each room of the building according to the control instruction, and simultaneously records the control instruction and the time of executing the control instruction to generate an execution log of each room of the building;
in the step S3, each room of the building is respectively marked as R1, R2, …, and Rm, where m is a total number of rooms included in the building, and the execution log in each room of the building is respectively marked as { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, and Rm: [ Tsm, Xm ] }, where Ts1, Ts2, …, and Tsm are respectively a set of times for executing control instructions in each room of the building, and X1, X2, …, and Xm are respectively a set of control instructions in each room of the building.
Wherein, Ts1, Ts2, … and Tsm are stored in a single day with a 24-hour time system.
For a better understanding, the following are illustrated: in R1, 00:00 is taken as the starting time for executing the control command, 10 minutes is taken as the time interval, and the corresponding control command is Y1; the next moment of executing the control instruction is: 00:10, corresponding to the control command Y2, up to the final monitoring time 23:50, corresponding to the control command Y71, at which the time of execution of the control command is 23:50, Ts1 ═ Day1: [00:00,00:10, …,23:50 ]; day2 [00:00,00:10, …,23:50 ]; …, respectively; dayk [00:00,00:10, …,23:50] }; x1 ═ Day1: [ Y1, Y2, …, Yp ]; day2 [ Y1, Y2, …, Yp ]; …, respectively; day: [ Y1, Y2, …, Yp ] }, k being the number of days of single-day storage of the execution log, p being 24 × 60 (minutes)/time interval (minutes), the execution log of R1 being R1: [ Ts1, X1 ].
Wherein, the intelligent control center is a big data distributed system which is constructed by combining a plurality of computing hosts and servers by taking a MapReduce computing model as a framework and has high-performance parallel computing capability, so the intelligent control center has quick computing capability, so that the moment when the monitoring unit monitors and generates the personnel existence signal and the environment temperature signal in real time is consistent with the moment when the intelligent control center generates the control instruction, thus T: { R1: [A1] and R2: [A2] …, Rm: [ Am ] } and T: { R1: [B1] and R2: [B2] …, Rm: t in [ Bm ] } is consistent with [00:00,00:10, …,23:50], namely { R1: [A1] and R2: [A2] …, Rm: [ Am ] } and { R1: [B1] and R2: [B2] …, Rm: the control command corresponding to [ Bm ] } is Y1.
The time interval can be adjusted according to the need, and 10 minutes in the embodiment is an example for convenience of description
S4, the intelligent control center extracts an execution log in each room of the building, and an optimal building automatic control model is established by taking the execution log in each room of the building as a sample data set;
in step S4, the intelligent control center establishes a building automatic control model in the following specific manner:
step S401, sample data preprocessing: performing data cleaning and normalization processing on an execution log { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] } in each room of the building, and sorting the execution log into a standard sample data set feature { R1: [ Ts1], R2: [ Ts2], …, Rm: [ Tsm ] }, label { R1: [ X1], R2: [ X2], … and Rm: [ Xm ] }, wherein the feature is sample characteristics serving as model input, and the label is sample label serving as model output;
taking R1 as an example, for Ts1 ═ Day1: [00:00,00:10, …,23:50 ]; day2 [00:00,00:10, …,23:50 ]; …, respectively; dayk [00:00,00:10, …,23:50] }; x1 ═ Day1: [ Y1, Y2, …, Yp ]; day2 [ Y1, Y2, …, Yp ]; …, respectively; dayk [ Y1, Y2, …, Yp ] } is arranged into a standard form of feature { [00:00,00:10, …,23:50 ]; day2 [00:00,00:10, …,23:50 ]; …, respectively; [00:00,00:10, …,23:50] }, label { [ Y1, Y2, …, Yp ]; [ Y1, Y2, …, Yp ]; …, respectively; [ Y1, Y2, …, Yp ] };
step S402, sample data set segmentation: randomly dividing a sample data set feature { R1: [ Ts1], R2: [ Ts2], …, Rm: [ Tsm ] }, label { R1: [ X1], R2: [ X2], … and Rm: [ Xm ] } into three parts of 60%, 15% and 15% one by one, and respectively taking the three parts as a training set of a training model, a verification set of a tuning model and a test set of an evaluation model;
step S403, establishing an optimal building automatic control model: respectively applying a classification model algorithm to training sets of R1, R2, … and Rm in each room of the building to generate an initial building automatic control model for controlling each indoor regulation rule R1, R2, … and Rm of the building, and applying a verification set and a test set to the initial building automatic control model to perform performance evaluation and parameter optimization to obtain optimal building automatic control models marked as M1, M2, M3, … and Mm;
taking M1 as an example, the model inputs of M1 are 00:00,00:10, … and 23:50, and the outputs are execution instructions Y1, Y2, … and Yp for R1 between time points 00:00 and 23: 50.
Step S404, updating the optimal building automatic control model: and updating the execution log of each indoor of the building periodically, and repeating the steps S401 to S403 to update the optimal building automatic control model periodically.
Setting an update cycle time limit for the optimal building automatic control model to be one week, one month or other time, starting a monitoring unit to monitor a new generated personnel existence signal and an environment temperature signal in real time for each indoor R1, R2, … and Rm of the building after the current optimal building automatic control model executes a full update cycle, synchronously analyzing the new personnel existence signal and the environment temperature signal by an intelligent control center, synchronously issuing a new control instruction to a central air-conditioning terminal in each indoor of the building, and simultaneously recording the control instruction and the time for executing the control instruction to generate a new execution log, namely new { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] };
on the basis of the current optimal building automatic control model, the original { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] }isreplaced by new { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] }, and the steps S401 to S403 are sequentially performed to update the current optimal building automatic control model so as to adapt to the change of environmental states caused by personnel movement, decoration and the like and periodically update the real use condition of the office environment.
In the step S5, the specific manner for the intelligent control center to issue the control command to the central air-conditioning terminal according to the optimal building automatic control model is as follows:
step S501, the intelligent control center closes each indoor R1, R2, … and Rm of the building, the monitoring units in the Rm directly input the optimal building automatic control models M1, M2, M3 and … at the current time point, and Mm outputs initial control commands X1, X2, … and Xm for the central air-conditioning terminals of each indoor R1, R2, … and Rm of the building;
step S502, the intelligent control center restarts the personnel monitoring units of the monitoring units in each room R1, R2, … and Rm of the building to receive personnel existence signals A1, A2, … and Am, and corresponding items of control commands X1, X2, … and Xm and personnel existence signals A1, A2, … and Am are analyzed to generate an optimal control command;
and step S503, issuing the optimal control command to the central air-conditioning terminal.
In step S502, the optimal control instruction specifically includes:
if the personnel existence signals A1, A2, … and Am in each room of the building take the values of 0, the optimal control command is not started;
if the personnel existence signals A1, A2, … and Am in each room of the building take the value of 1, the optimal control command is X1, X2, … and Xm.
Whether a person exists is confirmed again before the optimal building automatic control model issues a control instruction, so that misjudgment generated by the building automatic control model can be made up, and waste of power resources caused by idling of a central air-conditioning terminal is avoided.
The building automatic control model is established for each indoor of the building, the building automatic control model masters the use habit of each indoor user of the building through the execution log training of the central air-conditioning terminal of each indoor user of the building, the control instruction which is used for inputting and outputting the control instruction for constructing the environment in each indoor of the building into the temperature control environment which is most suitable for the life of people and is applied to the central air-conditioning terminal is obtained by using time as input, the real-time monitoring of the temperature control environment by a monitoring unit and the real-time study and judgment of the environment temperature signal by an intelligent control center are avoided, the operation, the saving of electric power resources and the improvement of the environment adjusting efficiency are realized, the central air-conditioning in each indoor of the building is automatically controlled, the use requirements of the users are met, the electric power loss caused by the bad habits of the users is avoided, and the optimal energy-saving state is achieved.
The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.
Claims (1)
1. A building automatic control method is characterized by comprising the following steps:
s1, monitoring the presence signal and the environment temperature signal of each indoor generated person of the building by the monitoring unit (2) in real time, and synchronously uploading the presence signal and the environment temperature signal to the intelligent control center (3);
the monitoring unit (2) comprises a personnel monitoring unit (201) which is arranged at an air outlet of the central air-conditioning terminal and used for identifying the existence condition of personnel, an environment monitoring unit (202) which is randomly distributed at each indoor position of the building and used for acquiring an environment temperature signal in real time, and a data processing module (203) which is used for generating signals by the personnel monitoring unit and the environment monitoring unit;
the personnel monitoring unit (201) comprises a voice recognition module (2011) and an infrared detection module (2012), wherein the voice recognition module (2011) receives all indoor voice signals of the building in real time and synchronously identifies human voice signals in the voice signals, the infrared detection module (2012) detects all indoor infrared signals of the building in real time and synchronously identifies human infrared signals in the infrared signals, and the data processing module (203) combines the human voice signals and the human infrared signals in a time sequence one-to-one correspondence manner to generate personnel existence signals representing the existence conditions of the personnel;
the voice recognition module (2011) generates a human body voice signal in real time and synchronously transmits the human body voice signal to the data processing module (203), and the infrared detection module (2012) generates a human body infrared signal in real time and synchronously transmits the human body infrared signal to the data processing module (203);
the data processing module (203) performs intersection operation on the synchronous receiving human voice signal and the human infrared signal to generate a personnel existence signal, and specifically comprises the following steps:
the human voice signal at the time T is marked as D, the human infrared signal is marked as G, the human existence signal at the time T is A ═ DUG, wherein the values of A, D and G are both 0 or 1,0 indicates that the human existence signal does not exist, and 1 indicates that the human existence signal exists;
the environment monitoring unit (202) comprises a plurality of temperature sensors for collecting temperature data at each indoor position of the building, and the data processing module (203) analyzes the plurality of temperature data to generate the environment temperature signal;
the temperature sensors detect the environmental temperature data of each indoor position of the building in real time and synchronously transmit the environmental temperature data to the data processing module;
the data processing module synchronously carries out averaging processing on a plurality of environment temperature data to generate an environment temperature signal; the method specifically comprises the following steps:
a plurality of the environmental temperatures at the time T are marked as { B1, B2, B3, …, Bn }, and the environmental temperature signal at the time T is
Wherein the value range of i is (1, n), and n is the total number of the temperature sensors;
s2, the intelligent control center (3) synchronously analyzes the personnel existence signal and the environment temperature signal, synchronously issues a control instruction to the central air-conditioning terminal (1) in each room of the building, and simultaneously records the control instruction and the time for executing the control instruction to generate an execution log in each room of the building;
if the value of the personnel existence signal A in each room of the building is 0, the intelligent control center (3) issues a control instruction which is not started to the central air-conditioning terminal (1) in each room of the building;
if the value of the personnel existence signal A in each room of the building is 1, comparing the environmental temperature signal with the temperature standard of the temperature control environment most suitable for the life of the personnel:
under the condition that the ambient temperature signal is lower than the temperature standard of the temperature control environment most suitable for people to live, the intelligent control center (3) issues a control instruction for starting temperature rise to the central air-conditioning terminal (1) corresponding to each indoor part of the building;
under the condition that the ambient temperature signal is higher than the temperature standard of the temperature control environment most suitable for people to live, the intelligent control center (3) issues a control instruction of not starting to the central air-conditioning terminal (1) corresponding to each indoor part of the building;
step S3, the central air-conditioning terminal (1) executes the adjusting operation of constructing the temperature control environment most suitable for the life of people for each room of the building according to the control instruction;
s4, the intelligent control center (3) extracts an execution log in each room of the building, and an optimal building automatic control model is established by taking the execution log in each room of the building as a sample data set;
each indoor of the building is marked as R1, R2, … and Rm respectively, wherein m is the total indoor number contained in the building, the execution log in each indoor of the building is marked as { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, … and Rm: [ Tsm, Xm ] }, wherein Ts1, Ts2, … and Tsm are respectively time sets for executing control instructions in each indoor of the building, and X1, X2, … and Xm are respectively control instruction sets in each indoor of the building;
the method for establishing the building automatic control model by the intelligent control center (3) comprises the following steps:
sample data preprocessing: performing data cleaning and normalization processing on an execution log { R1: [ Ts1, X1] }, R2: [ Ts2, X2] }, …, Rm: [ Tsm, Xm ] } in each room of the building, and sorting the execution log into a standard sample data set feature { R1: [ Ts1], R2: [ Ts2], …, Rm: [ Tsm ] }, label { R1: [ X1], R2: [ X2], … and Rm: [ Xm ] }, wherein the feature is sample characteristics serving as model input, and the label is sample label serving as model output;
sample data set segmentation: randomly dividing a sample data set feature { R1: [ Ts1], R2: [ Ts2], …, Rm: [ Tsm ] }, label { R1: [ X1], R2: [ X2], … and Rm: [ Xm ] } into three parts of 60%, 15% and 15% one by one, and respectively taking the three parts as a training set of a training model, a verification set of a tuning model and a test set of an evaluation model;
building an optimal building automatic control model: respectively applying a classification model algorithm to training sets of R1, R2, … and Rm in each room of the building to generate an initial building automatic control model for controlling each indoor regulation rule R1, R2, … and Rm of the building, and applying a verification set and a test set to the initial building automatic control model to perform performance evaluation and parameter optimization to obtain optimal building automatic control models marked as M1, M2, M3, … and Mm;
updating an optimal building automatic control model: updating the execution log of each indoor of the building periodically, and repeating the steps S401 to S403 to update the optimal building automatic control model periodically;
step S5, the intelligent control center (3) issues an optimal control instruction to the central air-conditioning terminal (1) in each room of the building according to the optimal building automatic control model, so that the real-time monitoring of the temperature control environment by the monitoring unit (2) and the real-time study and judgment of the environment temperature signal by the intelligent control center (3) are omitted, and the operation, the saving of electric power resources and the improvement of the environment regulation efficiency are realized;
the method for the intelligent control center (3) to issue the optimal control instruction to the central air-conditioning terminal (1) in each room of the building according to the optimal building automatic control model comprises the following steps:
the intelligent control center (3) closes the monitoring units (2) in each room R1, R2, … and Rm of the building, directly inputs the optimal building automatic control models M1, M2, M3, … and Mm at the current time point to output initial control commands X1, X2, … and Xm to the central air-conditioning terminal (1) in each room R1, R2, … and Rm of the building;
the intelligent control center (3) restarts the personnel monitoring units of the monitoring units (2) in each room R1, R2, … and Rm of the building to receive personnel existence signals A1, A2, … and Am, and analyzes corresponding items of control commands X1, X2, … and Xm and personnel existence signals A1, A2, … and Am to generate optimal control commands;
issuing the optimal control instruction to a central air-conditioning terminal (1);
if the personnel existence signals A1, A2, … and Am in each room of the building take the values of 0, the optimal control command is not started;
if the personnel existence signals A1, A2, … and Am in each room of the building take the value of 1, the optimal control command is X1, X2, … and Xm.
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